Jin Uk Ko
Orcid: 0000-0003-1009-1500
According to our database1,
Jin Uk Ko
authored at least 8 papers
between 2020 and 2023.
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Bibliography
2023
Frequency-learning generative network (FLGN) to generate vibration signals of variable lengths.
Expert Syst. Appl., October, 2023
Opt-TCAE: Optimal temporal convolutional auto-encoder for boiler tube leakage detection in a thermal power plant using multi-sensor data.
Expert Syst. Appl., April, 2023
Deep-learning-based fault detection and recipe optimization for a plastic injection molding process under the class-imbalance problem.
J. Comput. Des. Eng., March, 2023
2022
Asymmetric inter-intra domain alignments (AIIDA) method for intelligent fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf., 2022
A new auto-encoder-based dynamic threshold to reduce false alarm rate for anomaly detection of steam turbines.
Expert Syst. Appl., 2022
2021
Multi-task learning of classification and denoising (MLCD) for noise-robust rotor system diagnosis.
Comput. Ind., 2021
Label-based, Mini-batch Combinations Study for Convolutional Neural Network Based Fluid-film Bearing Rotor System Diagnosis.
Comput. Ind., 2021
2020
Direct Connection-Based Convolutional Neural Network (DC-CNN) for Fault Diagnosis of Rotor Systems.
IEEE Access, 2020